NDLI: Optimal sizing of grid integrated hybrid PV-biomass energy system using artificial bee colony algorithm

Content Provider	IET Digital Library
Author	Singh, Shakti Kaushik, Subhash Chandra
Abstract	This study presents an optimal sizing methodology for a stand-alone and grid connected PV-biomass hybrid energy system that serves the electricity demand of a typical village. However, this method is scalable and can be used in any test system. A recently developed artificial bee colony (ABC) algorithm is used to detect out the optimum hybrid system configuration with the least levelised cost of energy while minimising annualised cost of the system. It has been observed from the results that a grid connected hybrid PV-biomass system is cost effective and reliable choice for rural electrification as compared with stand-alone hybrid PV-biomass energy system. It has been emerged from this study that the proposed system offers reliable and affordable electricity in a sustainable way by harnessing locally available natural resources. A brief comparison of results obtained from the ABC algorithm and hybrid optimisation model for electric renewable (HOMER) has been carried out. Moreover, it is also observed from the results that the ABC algorithm provides better results as compared with HOMER.
Starting Page	642
Ending Page	650
Page Count	9
ISSN	17521416
Volume Number	10
e-ISSN	17521424
Issue Number	Issue 5, May (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/10/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2015.0298
Journal	IET Renewable Power Generation
Publisher Date	2016-05-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	ABC Algorithm Artificial Bee Colony Algorithm Bioenergy Conversion Electricity Demand Grid Integrated Hybrid PV-biomass Energy System HOMER Hybrid Optimisation Model For Electric Renewable Hybrid Power System Optimisation Optimisation Technique Other Direct Energy Conversion Photovoltaic Power System Solar Power Stations
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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